How a Private Chef Startup Went All In on AI Agents
Yhangry is a private chef marketplace doing $15 million in GMV that's going all in on AI agents across every function of the company — from an autonomous bug fixer that shipped 25 fixes in its first week to an AI product that matches chefs and customers instantly. In this recent batch talk, founder Siddhi Mittal walks through three real business use cases for agents at yhangry, how she turned teaching AI in plain English into a growth channel worth $50K in free conference slots, and the hard org decisions she made to rebuild the company as AI native from the ground up.
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Agent Foundations
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
Dutch Tesla owner wonders why he experienced ‘phantom breaking’
Medium · AI
Designing AI-Native Cloud Architectures on AWS (Beyond Microservices)
Dev.to AI
Google Declared the Agentic Era at I/O. Here's What They Got Wrong.
Dev.to AI
The Agent Payment Protocol Stack: Why Nobody Is Winning — And Everyone Is
Dev.to AI
🎓
Tutor Explanation
DeepCamp AI